Institute for Soil Sciences and Agricultural Chemistry, Centre for Agricultural Research
Department of Soil Mapping and Environmental Informatics
Spatio-temporal modelling of soil organic carbon stock for the
support of national level assessment of land degradation neutrality in
Hungary
László PÁSZTOR
Annamária LABORCZI
Gábor SZATMÁRI
Highlights
• Indicators and spatial assessment of Land Degradation Neutrality (LDN)
• Soil organic carbon (SOC) stock mapping in Hungary
• Spatio-temporal modelling of soil organic carbon stock (SOC)
• SOC changes vs. land use/land cover (LU/LC) changes
• SOC changes attributed to land use/land cover (LU/LC) changes
Spatio-temporal modelling of soil organic carbon stock for the support of national level assessment of land degradation neutrality in Hungary
2/10
3/10
The minimum set of indicators recommended for tracking progress towards LDN against a baseline are: • land cover, • land productivity (metric: net primary productivity)
and • carbon stocks above and below ground (metric: soil
organic carbon).
Land degradation neutrality (LDN) aims to achieve no net loss of land-based natural capital, compared with the baseline.
Spatio-temporal modelling of soil organic carbon stock for the support of national level assessment of land degradation neutrality in Hungary
4/10Spatio-temporal modelling of soil organic carbon stock for the support of national level assessment of land degradation neutrality in Hungary
Soil organic carbon (SOC) stock mapping in Hungary
1st: In the frame of Global Soil Organic Carbon Map initiative
For details see: EGU2020-7095
Szatmári G, Pásztor L: Comparison of various uncertainty modelling approaches based on geostatistics and machine learning algorithms. GEODERMA, 337: 1329-1340 (2019)
GSOC@hu
5/10Spatio-temporal modelling of soil organic carbon stock for the support of national level assessment of land degradation neutrality in Hungary
Soil organic carbon (SOC) stock mapping in Hungary
2nd: Based on GSOC@hu (QRF) with some modifications ( 500 m -> 100 m; two dates: 1992 & 2010)
Szatmári G, Pirkó B, Koós S, Laborczi A, Bakacsi Zs, Szabó J., Pásztor L.: Spatio-temporal assessment of topsoil organic carbon stock change in Hungary. SOIL & TILLAGE RESEARCH, 195 (2019)
SOC(1992)@hu
SOC(2010)@hu
6/10Spatio-temporal modelling of soil organic carbon stock for the support of national level assessment of land degradation neutrality in Hungary
Change of soil organic carbon stocks between the years 1992 and 2010 and its significance according to the elaborated scheme
Spatio-temporal modelling of soil organic carbon stock
Scheme for assessing the soil organic carbon stock temporal change based on the 90% prediction intervals, (a) decreasing, (b) decreasing tendency, (c) no change, (d) increasing tendency and (e) increasing. (blue and red circles are the spatial predictions for the years 1992 and 2010, respectively; blue and red whiskers are the corresponding 90% prediction intervals.
Szatmári G, Pirkó B, Koós S, Laborczi A, Bakacsi Zs, Szabó J., Pásztor L.: Spatio-temporal assessment of topsoil organic carbon stock change in Hungary. SOIL & TILLAGE RESEARCH, 195 (2019)
7/10Spatio-temporal modelling of soil organic carbon stock for the support of national level assessment of land degradation neutrality in Hungary
Spatio-temporal modelling of soil organic carbon stock
SOC changes vs. LU/LC changes
Szatmári G, Pirkó B, Koós S, Laborczi A, Bakacsi Zs, Szabó J., Pásztor L.: Spatio-temporal assessment of topsoil organic carbon stock change in Hungary. SOIL & TILLAGE RESEARCH, 195 (2019)
8/10Spatio-temporal modelling of soil organic carbon stock for the support of national level assessment of land degradation neutrality in Hungary
SOC changesattributed toLU/LCchanges
SOC(1992)@hu & CLC changes
Country
defaults
ESA Climate Change Initiative LandCover Dataset [CCI-LC] v2.0.7,
ISRIC SoilGrids 250m
„Think globally, act locally”
9/10Spatio-temporal modelling of soil organic carbon stock for the support of national level assessment of land degradation neutrality in Hungary
Corine Land Cover Change maps were used to derive the GSOC estimations for the base year (2000) as well as for
the target year (2012) from the original SOC map (representing 1992).
SOC change was estimated by the difference of the two predictions.
SOC changes attributed toLU/LC changes
10/10Spatio-temporal modelling of soil organic carbon stock for the support of national level assessment of land degradation neutrality in Hungary
TAKE HOME MESSAGE
• Spatial assessment of LDN SO1-3 (trends in carbon stocks above and below ground) supposes the availability of proper DSM products;
• SOC stock map compiled using local (at most regional; asopposed to global) data can provide more accurate estimates at national level;
• Spatial information on LC/LU changes can and should be used in SOC mapping and monitoring;
• We recommend applying the SOC stock map of 1992 as baseline to track and assess SOC stock change in Hungary.
THANK YOU FOR YOUR ATTENTION
To readmore